/**
 * Copyright 2023 Huawei Technologies Co., Ltd
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#ifndef MINDSPORE_LITE_SRC_DELEGATE_TENSORRT_CDUA_IMPL_FSE_DECODE_IMPL_H_
#define MINDSPORE_LITE_SRC_DELEGATE_TENSORRT_CDUA_IMPL_FSE_DECODE_IMPL_H_

#include <stdint.h>
#include "tools/converter/quantizer/fse_chunk_end.h"

template <typename T>
void FSE_Decode(const uint64_t *chunks, const uint16_t *states_table, const uint8_t *bit_count_table,
                const uint16_t *symbol_table, const uint64_t *ptable, int ptable_size, const T *centroids,
                uint64_t output_size, T *output, const uint32_t &device_id, uint64_t current_chunk_input,
                bool use_curr_chunk, cudaStream_t cuda_stream);

#endif  // MINDSPORE_LITE_SRC_DELEGATE_TENSORRT_CDUA_IMPL_FSE_DECODE_IMPL_H_
